Riders on the Storm: Amplified Platform Precarity and the Impact of COVID-19 on Online Food-delivery Drivers in China

Huang, Hui

doi:10.1080/10670564.2021.1966895

Cited by 49 publications

(46 citation statements)

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“…When the demand for food delivery is low, demand for delivery drivers becomes low, which can cause some drivers to struggle financially, which adds undue stress [2]. Fourth, the COVID-19 pandemic has further exacerbated these poor work conditions by imposing increased health risks, job insecurity, and financial instability for many delivery drivers [9].…”

Section: Development Of Delivery Drivers In Chinamentioning

confidence: 99%

“…By 2018, the country had 3 million individuals employed as package delivery drivers [1]. However, these expanding labor markets have come with increasing work demands and work stress for delivery drivers [7][8][9][10][11]. Therefore, it should come as no surprise that delivery drivers experience fewer positive emotions and affect and more negative emotions and affect at their jobs [2,12].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Job Demands and Resources on Positive and Negative Affect of Delivery Drivers in China

Zhang

Sitar

Huang

2022

IJERPH

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The delivery workforce in China has grown substantially within the past decade. As this industry has grown, job demands (JD) have also increased to ensure productivity. Accordingly, delivery drivers are increasingly facing volatile and stressful work conditions that could influence their Positive and Negative Affect (PANA), which has been an important predictor of their health and well-being. This study utilizes a sample of modern delivery drivers in Beijing, China (n = 240) to study how the job demands-resources theory (JD-R) was related to PANA. The results indicate delivery drivers experience relatively high JD and moderate JR at their places of employment. As expected, JR were positively associated with PA and negatively associated with NA. Meanwhile, JD were positively related to NA; however, JD were also positively associated with PA within the sample. Further interaction analysis showed that only drivers with high JD and high JR were positively associated with PA and that drivers with high JD and low JR were associated with high NA and had no effect on PA. These findings call for support for Chinese delivery drivers who face high job stress and high job demands.

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Section: Development Of Delivery Drivers In Chinamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Job Demands and Resources on Positive and Negative Affect of Delivery Drivers in China

Zhang

Sitar

Huang

2022

IJERPH

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“…However, providing efficient last-mile delivery services is challenging, not least because customers have come to expect rapid deliveries within narrow time-windows. In most places, delivery services are fragmented and delivery speeds are affected by shipment size, traffic congestion, inclement weather, hilly or broken topography, and built environment barriers ( Alvarez-Palau, Calvet-Liñán, Viu-Roig, Gandouz, & Juan, 2021 ; Cant, 2020 ; Cárdenas, Beckers, & Vanelslander, 2017 ; Huang, 2021 ). Where last-mile delivery services are chaotic, cities experience more congestion, pollution, and crashes ( Edwards, McKinnon, & Cullinane, 2010 ; Ranieri, Digiesi, Silvestri, & Roccotelli, 2018 ; Rusli et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…Vietnam is one such case. Providers here tend to be poor men with limited education and opportunities ( Bosona, 2020 ; Huang, 2021 ; Mangiaracina, Perego, Seghezzi, & Tumino, 2019 ; Wang, Chen, Quddus, Zhou, & Shen, 2021 ). While some drive trucks or vans to complete deliveries, others ride two-wheelers, such as bicycles, e-bikes, and motorcycles ( Conway, Cheng, Kamga, & Wan, 2017 ; Rusli et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

What if delivery riders quit? Challenges to last-mile logistics during the Covid-19 pandemic

Nguyen

Pojani

Nguyen-Phuoc

et al. 2023

Research in Transportation Business & Management

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“…This proved to be fortuitous in March of 2020, when over one billion people were in lockdown on short notice; this resulted in extensive stress to the existing OFDS network, as it was called upon to increase capacity rapidly, and dramatically [1,2]. Under the immense pressure placed on delivery people, as well as the technology platform, the food delivery network was able to repurpose and scale up quickly to provide crisis food distribution rapidly and very efficiently [3,4].…”

Section: Introductionmentioning

confidence: 99%

Supply Chain Sustainability during COVID-19: Last Mile Food Delivery in China

et al. 2022

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The COVID-19 pandemic triggered a strict 100-day lockdown period in Spring of 2020 in China. One of the consequences of the lockdown was the disruption of the food supply chain for the millions of people confined to their homes. The well-established online food delivery service (OFDS) in China were disrupted by pressure to scale up rapidly to resolve the last mile of food delivery. The importance of the OFDS during periods of crises became apparent, as did the realization that uninterrupted food distribution was only possible due to the presence and scalability of the existing delivery network. Focusing on the importance of an established OFDS as a foundation for food distribution, this paper seeks to explore factors that affect consumers’ perception and acceptance of the retail food delivery system in urban China. By applying the extended theory of planned behavior (TPB), mean value calculation, univariate linear regression, and multiple linear regression have been adopted to test the hypotheses. Data obtained online from 260 participants demonstrate that the software’s characteristics concerning hedonic motivation (HM), convenience motivation (CM), perceived ease of use (PEOU), navigational design (ND), information quality (IQ), privacy and security (PS), restaurant credibility (RC), and perceived severity (Psev) have positive and significant impacts on customers’ intention to use (ITU), and thus, affects the actual use (AU) of the application in a positive way. The findings of this research contribute to the existing literature by consolidating, validating, and extending the TPB model, especially under the large-scale public health crisis circumstances. Customized practical insights are provided to emphasize developing HM, CM, Psev, and RC factors with maximal marginal effects that promote consumer acceptance; this is a prerequisite to the development of a robust OFDS. which can be repurposed during periods of crises to provide sustainable last-mile food delivery networks.

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Riders on the Storm: Amplified Platform Precarity and the Impact of COVID-19 on Online Food-delivery Drivers in China

Cited by 49 publications

References 0 publications

Effects of Job Demands and Resources on Positive and Negative Affect of Delivery Drivers in China

Effects of Job Demands and Resources on Positive and Negative Affect of Delivery Drivers in China

What if delivery riders quit? Challenges to last-mile logistics during the Covid-19 pandemic

Supply Chain Sustainability during COVID-19: Last Mile Food Delivery in China

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